Table 2 (Supplemental): Complete data for all 100 recurrent expression programs (EPs) discovered by GeneProgram. Each EP has two identifying rows, a list of meta-genes, and a list of significantly enriched GO categories. ...

This paper discusses how data from multiple tactile sensors may be used to identify and locate one object, from among a set of known objects. We use only local information from sensors: (1) the position of contact ...

The AI Lab's Unimation Puma 600 is a general-purpose industrial robot arm that has been interfaced to a Lisp Machine for use in robotics projects at the lab. It has been fitted with a force-sensing wrist. The Puma is capable ...

Control algorithms that exploit chaotic behavior can vastly improve the performance of many practical and useful systems. The program Perfect Moment is built around a collection of such techniques. It autonomously ...

Human performance in object recognition changes with practice, even in the absence of feedback to the subject. The nature of the change can reveal important properties of the process of recognition. We report an ...

We are investigating how to program robots so that they learn from experience. Our goal is to develop principled methods of learning that can improve a robot's performance of a wide range of dynamic tasks. We have ...

We are investigating how to program robots so that they learn tasks from practice. One method, task-level learning, provides advantages over simply perfecting models of the robot's lower level systems. Task-level ...

In the Probabilistic I/O Automata (PIOA) framework, nondeterministicchoices are resolved using perfect-information schedulers,which are similar to history-dependent policies for Markov decision processes(MDPs). These ...

Modeling frameworks such as Probabilistic I/O Automata (PIOA) andMarkov Decision Processes permit both probabilistic andnondeterministic choices. In order to use such frameworks to express claims about probabilities of ...

Modeling frameworks such as Probabilistic I/O Automata (PIOA) and Markov Decision Processes permit both probabilistic and nondeterministic choices. In order to use these frameworks to express claims about probabilities of ...

Most knowledge representation languages are based on classes and taxonomic relationships between classes. Taxonomic hierarchies without defaults or exceptions are semantically equivalent to a collection of formulas ...

Planning for and controlling a network of interacting devices requires a planner that accounts for the automatic timed transitions of devices while meeting deadlines and achieving durative goals. For example, a planner for ...

This is an experimental curriculum unit which suggests how the computational perspective can be integrated into a subject such as elementary school biology. In order to illustrate the interplay of computer and non-computer ...

As AI has begun to reach out beyond its symbolic, objectivist roots into the embodied, experientialist realm, many projects are exploring different aspects of creating machines which interact with and respond to the world ...

This paper is dedicated to the hope that someone with power to act will one day see that contemporary research on education is like the following experiment by a nineteenth century engineer who worked to demonstrate that ...

Being a mathematician is no more definable as 'knowing' a set of mathematical facts than being a poet is definable as knowing a set of linguistic facts. Some modern math ed reformers will give this statement a too easy ...

The idea of building a programmer is very seductive in that it holds the promise of massive bootstrapping and thus ties in with many ideas about learning and teaching. I will avoid going into those issues here. It is ...

Analysis of the structure of procedures is central to the foundations of problem soling. In this paper we explore three principle means for teaching procedures: telling, canned loops, and procedural abstraction. The ...

This research is concerned with the question of whether or not teachers who lack specialized backgrounds can adapt to and become proficient in the technically complex, philosophically sophisticated LOGO learning ...